Meeting:
Tues Thurs 1.40  3.00 p.m. Wellman 106
Instructor Office Hours:
Tuesday afternoon 3.30  5.00 pm in
office SSH 1124 In person only
Wednesday afternoon 3.30  5.00 pm in office SSH
1124 In person plus zoom
Teaching Assistants:
Luis Avalos Trujillo avalost@ucdavis.edu
Office hours: Thursday 3.10  5.00 pm in SSH 0116 In person
only
Hanguo Huang hghuang@ucdavis.edu
Office hours: Wednesday 2  3 pm and 5.10  6 pm in SSH 0120
In person only
Discussion Sections in Hutchison 93:
B01: Wednesday 1.10  2.00 pm 93
Hutchison TA:
Luis
Avalos Trujillo
B02: Wednesday
2.10  3.00 pm 93 Hutchison TA: Luis Avalos Trujillo
B03: Wednesday
3.10  4.00 pm 93 Hutchison
TA: Hanguo Huang
B04: Wednesday 4.10  5.00 pm 93 Hutchison
TA: Hanguo
Huang
Course Goals:
Prerequisites:
Economics 1AB, Statistics 13, 13Y or 32 and Math 16AB or 17AB
or 21AB or consent of instructor.
The essential prerequisites are exposure to introductory
lowerdivision courses in economics and statistics.
Relationship to Economics 140
Economics 140 (Econometrics) is a more advanced course that also
covers the methods of Economics 102.
Economics 140 has Economics 102 or Statistics 108 as a
prerequisite.
For more on possible data classes see http://cameron.econ.ucdavis.edu/e102/morestat.html
Topical Outline by Lecture Number:
The text is A. Colin Cameron, Analysis of Economics Data: An
Introduction to Econometrics.
A. UNIVARIATE: Analysis of a single economics variable
Lecture 1: Introduction and getting going on Stata (chapter
1 + Stata http://cameron.econ.ucdavis.edu/stata/stata.html).
Lecture 2: Summarizing data using descriptive statistics and
visualizing data using charts (chapter 2.12.6)
Lecture 3: The sample mean (chapter 3.13.6 and appendix B)
Lecture 4: Statistical inference based on the sample mean
using estimation and confidence intervals (chapter 4.14.3)
Lecture 5: Statistical inference based on the sample mean
using hypothesis tests (chapter 4.44.7)
B. BIVARIATE REGRESSION: The relationship between two
economic variables
Lecture 6: Bivariate data summary: scatter plots,
correlation and regression (chapter 5.15.5)
Lecture 7: ***** First midterm exam *****
Lecture 8: Bivariate data summary: regression, goodness of fit
(chapter 5.65.12)
Lecture 9: The least squares estimator (chapter 6.16.4)
Lecture 10: Statistical inference on regression coefficients
(chapter 7.17.7)
Lecture 11: Bivariate case studies (chapter 8.1)
Lecture 12: Models with natural logarithms (chapter 9.19.6)
Lecture 13: ***** Second midterm exam *****
A. Colin Cameron, Analysis of Economics Data: An Introduction
to Econometrics.
The text is available from Amazon
for $25 paperback or $6.99 for a Kindle replica book.
A Kindle replica book is just a pdf but requires downloading the Kindle
App to your PC, Mac, Android or iOS.
Copies of the text will also be on Reserve at the Library.
Slides for the course text are available at http://cameron.econ.ucdavis.edu/aed/
The datasets and Stata programs used in the course notes are at http://cameron.econ.ucdavis.edu/aed/
Additional Materials:
The course Canvas site has assignments under Files/ Homeworks.
Assignments should be uploaded to Canvas under Assignments.
The website http://cameron.econ.ucdavis.edu/e102/e102.html
has past exams and solutions and some links to Stata material.
There are usually free tutors for 102: see http://economics.ucdavis.edu/undergradprogram/tutoring
The Khan Academy has excellent video tutorials and exercises. See
https://www.khanacademy.org/math/apstatistics
Reading List:
Topic  Lecture Notes  
A. Univariate  Chapters 14, Appendix B 

B. Bivariate Regression 
Chapters 59  
C. Multiple Regression  Chapters 1011, 12.1, 12.2, 13.1, 1416 
Discussion Sections:
These are held in a university computer lab in Hutchison 93.
Computer Materials: Assignments use Stata.
Stata is installed in 93 Hutchison, 2101 SCC, and the Virtual
Lab (after 2060 SciLab closes  see https://virtuallab.ucdavis.edu)
To see
whether 93 Hutchison and 2101 SCC
are available see https://computerrooms.ucdavis.edu/available/.
I strongly recommend purchasing Stata. It will make it much
easier to implement and learn Stata.
Stata can be purchased at https://www.stata.com/order/new/edu/gradplans/studentpricing/
Stata/BE is more than adequate and costs $48 (6 months), $94
(1 year); $225 (permanent copy).
Note that ECN140 and some other courses such as ECN 132 also
use Stata.
Older versions of Stata are fine.
To install Stata after it is
purchased:
(1) Choose the correct operating system (e.g. Windows or Mac);
(2) Choose the correct version of Stata  the student price
version is Stata/IC;
(3) When you first run Stata after installation it will ask
for an "authorization code".
These codes are given in a pdf attachment you will received in
the email from Stata following purchase (some are lengthy and
it is easiest to cut and paste them in).
Assignments will generally be graded satisfactory (4 points) or unsatisfactory (0 points); very occasionally partial credit will be given.